Do you use R for analysing large amounts of data? Join us at this free SNIC-PRACE course on speeding up the performance of R code by parallelizing it!
Why run your R code in parallel?
R is a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques: linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering. But default R is not executed in parallel and consequently – for huge datasets or for extensive calculations – the analysis of your data can be quite slow.
In this course, which is being organised by PDC in its role as a SNIC PRACE training centre, you will learn what parallelization means, and how to make your R code faster using parallelization. We will also teach you how to run these codes on Tegner, which is a high-performance computing (HPC) cluster at PDC.
- Basic knowledge of R/RStudio and Linux
- an account with PDC (If you do not already have an account with PDC, please apply according to these instructions.)
For more information and registration visit https://www.pdc.kth.se/about/events/training/analyzing-data-in-an-hpc-environment-using-r-1.1057170